Institutional RDM challenges or how to trigger high quality publication outputs

You have the best horse in town, but you don’t get it moving? You have the most beautiful bird, but you don’t get it singing? The solution is not force but well selected incentives to get the best for both of you. Incentives are the golden key to reach higher goals. This also applies to research data management and the belonging service infrastructures. We want to offer the carrot to get the most out of research data management. Leibniz Centre for Agricultural Landscape Research (ZALF) is a key player in German agricultural research. Our approach of “Reshaping landscapes by rethinking agriculture” means ZALF conducts research across scales within the landscape. A large variety of high-quality data is required for this research. The nature of these data is as diverse as our landscapes from drone images to laboratory analysis, from high resolution soil sensor geodata to survey data. To fulfil this approach every colleague requires the most suitable RDM support for their field as the most attractive incentive. Tailored support is the secret. For ZALF institutional RDM is a crucial pillar of scientific support. In doing so, there is a clear commitment to open and free data, hence the in-house repository (The BonaRes Repository for soil and agricultural research data: http://doi.org/10.17616/R31NJMVY) was developed as a permanent infrastructure and will be transferred into an open source Geonode (see poster of Marcel Wallschläger, ZALF). The goal is to establish data publication in qualified repositories as a standard of good scientific practice in addition to conventional publications in scientific journals. In the cause of projects different tools and documents are required which we developed and still develop and can be adapted individually to every project purpose. They facilitate our everyday business. Examples are: • An Upload Tool for data towards our repository • Templates for agreements to be used within projects (data sharing, data use, authorization to trespass) • Handbooks • Focus Areas as our solution for geospatial data management Furthermore, the ZALF RDM is legally and administratively integrated. • We have a legally sound policy (developed jointly with the legal department and RDM, signed by the board of directors and binding for employees) • Every scientist at ZALF needs to publish all data binding to our policy • Commitment of ZALF to sufficient RDM resources This poster illustrates our services as incentives to foster RDM in agriculture.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-07
DOI
https://doi.org/10.5281/zenodo.14833365
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Institutional RDM challenges or how to trigger high quality publication outputs

Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
article

Institutional RDM challenges or how to trigger high quality publication outputs

article en

Abstract

You have the best horse in town, but you don’t get it moving? You have the most beautiful bird, but you don’t get it singing? The solution is not force but well selected incentives to get the best for both of you. Incentives are the golden key to reach higher goals. This also applies to research data management and the belonging service infrastructures. We want to offer the carrot to get the most out of research data management. Leibniz Centre for Agricultural Landscape Research (ZALF) is a key player in German agricultural research. Our approach of “Reshaping landscapes by rethinking agriculture” means ZALF conducts research across scales within the landscape. A large variety of high-quality data is required for this research. The nature of these data is as diverse as our landscapes from drone images to laboratory analysis, from high resolution soil sensor geodata to survey data. To fulfil this approach every colleague requires the most suitable RDM support for their field as the most attractive incentive. Tailored support is the secret. For ZALF institutional RDM is a crucial pillar of scientific support. In doing so, there is a clear commitment to open and free data, hence the in-house repository (The BonaRes Repository for soil and agricultural research data: http://doi.org/10.17616/R31NJMVY) was developed as a permanent infrastructure and will be transferred into an open source Geonode (see poster of Marcel Wallschläger, ZALF). The goal is to establish data publication in qualified repositories as a standard of good scientific practice in addition to conventional publications in scientific journals. In the cause of projects different tools and documents are required which we developed and still develop and can be adapted individually to every project purpose. They facilitate our everyday business. Examples are: • An Upload Tool for data towards our repository • Templates for agreements to be used within projects (data sharing, data use, authorization to trespass) • Handbooks • Focus Areas as our solution for geospatial data management Furthermore, the ZALF RDM is legally and administratively integrated. • We have a legally sound policy (developed jointly with the legal department and RDM, signed by the board of directors and binding for employees) • Every scientist at ZALF needs to publish all data binding to our policy • Commitment of ZALF to sufficient RDM resources This poster illustrates our services as incentives to foster RDM in agriculture.

Zenodo (CERN European Organization for Nuclear Research)
Leibniz Centre for Agricultural Landscape Research (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.